Machine learning operations and large language model operations are the focus of Starwhale’s platform.
Talos
Talos provides tools for running hyperparameter experiments with TensorFlow and Keras.

About Talos
Talos is an open-source repository of tools for hyperparameter experiments with Keras, TensorFlow and PyTorch. It runs candidate parameter settings against a user's existing model and training code, records trial histories, and helps users inspect, select and recover trained models. The user chooses the data, splits, training method and evaluation protocol.
Talos has moved to a second generation. Talos 2 is in active maintenance, and the Talos 1.x series is supported at least until 2028. The core package supports Python 3.10 to 3.13, and modern Keras and TensorFlow require Python 3.11 or newer. Talos is installed from PyPI with an extra for each framework.
Key features
- Runs parameter sweeps over Keras, TensorFlow/tf.keras and PyTorch models
- Grid and sampled searches, reducers, and custom strategies
- Notebook workflow through a Scan interface, plus Analyze, Predict, Evaluate, Deploy and Restore interfaces
- Single-file experiment definitions with a manifest and command-line interface
- Records trial histories, checkpoints and intervention records in content-addressed manifests
- Trained model recovery, using explicit factories or custom objects where the framework requires them
- Keeps the user's existing model and training code in place while Talos runs the candidate settings.
- Framework imports are optional, so users can install only the extra for their framework.
- The Talos 1.x series is stated to remain supported at least until 2028.
- The core package supports Python 3.10 to 3.13, and modern Keras and TensorFlow require Python 3.11 or newer.
- The latest 1.x release is pinned to talos==1.4 and is installed in a separate Python 3.10 or 3.11 environment.
- The last confirmed report of mislabeled experiment results in the earlier generation (issue #439, opened 11 December 2019) affected CSV parameter columns on Python 3.5.
Talos at a glance
- Website
- github.com/autonomio/talos
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Good for
- Researchers
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Talos alternatives
Tools and sites you could use instead, ranked by how closely they match.
Future AGI evaluates and observes AI and agent applications with tracing, simulations, datasets, and guardrails.
This repository contains machine learning code examples that use Comet.ml.
QKeras provides quantization tools for deep learning with TensorFlow Keras.
Build neural networks and support machine learning research with Sonnet, a library based on TensorFlow.
The tensorflow-upstream repository provides a ROCm port of TensorFlow for the project.
Popular in AI Infrastructure & MLOps
Well-known listings from the same topic.
Talos FAQ
Which frameworks does Talos support?
Which Python version is needed?
Who decides the data, splits and evaluation method?
Tell us and an editor will check it.
Claim the listing and suggest updates yourself. An editor checks every claim first.












